Rosas-Caro, Julio
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Preferred name
Rosas-Caro, Julio
Official Name
Rosas Caro, Julio César
Alternative Name
crosas
Main Affiliation
ORCID
Scopus Author ID
57191227591
Researcher ID
R-6224-2018

Research Output
Now showing 1 - 10 of 122
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Publication

An Overview of Non-Isolated Hybrid Switched-Capacitor Step-Up DC–DC Converters

2022 , Rosas-caro, Julio , Mayo Maldonado, Jonathan , Jesus E. Valdez-Resendiz , Francisco Beltran-Carbajal , Alejo-Reyes, Avelina , Oswaldo López-Santos

The increasing interest in renewable energy sources has brought attention to large voltage-gain dc–dc converters; among the different available solutions to perform a large voltage-gain conversion, this article presents an overview of non-isolated dc–dc converter topologies that utilize switched-capacitor circuits, i.e., diode-capacitors voltage multipliers. The review includes combinations of a traditional power stage with a diode-capacitor-based voltage multiplier, such as the multilevel boost converter. This article starts by reviewing switched-capacitor (SC) circuits, different topologies, and different types of charge exchange; it provides a straightforward analysis to understand the discharging losses. It then covers the multilevel boost converter and other topologies recently introduced to the state-of-the-art. Special attention is put on SC circuits with resonant charge interchange that have recently been probed to achieve very good efficiency. An additional contribution of the article is new proof of the discharging losses in resonant switched-capacitor circuits focused on the initial and final stored energy in capacitors, and this proof explains the relatively large efficiency obtained with SC resonant converters.

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Adaptive neural strategies for the interactive tracking flight of two aerial vehicles

2018-01-01 , Yañez-Badillo H. , Tapia-Olvera R. , Beltran-Carbajal F. , Valderrabano-Gonzalez, Antonio , Rosas-Caro, Julio , Aguilar-Mejia O.

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Implementation and Control of an Industrial Static VAr Compensator

2018 , R. Garcia-Rochin , J.C. Mayo-Maldonado , Rosas-Caro, Julio , J.E. Valdez-Resendiz

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Improved Operation of the Step-Up Converter with Large Voltage Gain and Low Voltage on Capacitors

2023 , Julio C. Hernandez-Ochoa , Alejo-Reyes, Avelina , Rosas-caro, Julio , Jesus E. Valdez-Resendiz

This work proposes an improvement for a recently proposed converter. The discussed converter is the so-called low-voltage in capacitors (LVC). It offers a larger voltage gain compared to the standard step-up or boost converter while operating with a relatively low voltage in their capacitors (lower than the voltage at the output port). The improvement consists of a modification in the pulse width modulation (PWM) scheme. The new modulation scheme allows for a reduction in the voltage ripple at the output port, which means an improvement in the power quality. The LVC converter contains two transistors, but it was proposed to operate with a single switching signal. The new PWM scheme is based on two switching signals with the same duty cycle (same waveform and same average time in high) but 180° of phase shift among them. The PWM scheme significantly affects the voltage ripple at the converter’s output port. The voltage ripple reduction at the converter’s output port is achieved without increasing the transistor switching frequency and without modifying the circuit parameters (capacitance in capacitors or inductance in inductors). The article starts by introducing the converter. Then, it presents its mathematical model, including the calculation of the voltage ripple at its output port. The experimental results performed on the LCV in both the former and the proposed operation prove the reduction in the voltage ripple, and the comparison also includes the traditional boost converter.

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Data-Driven Modeling of DC–DC Power Converters

2024 , Edgar D. Silva-Vera , Jesus E. Valdez-Resendiz , Gerardo Escobar , Daniel Guillen , Rosas-Caro, Julio , Jose M. Sosa

This article presents a data-driven methodology for modeling DC–DC power electronic converters. Using the proposed methodology, the dynamics of a converter can be captured, thereby eliminating the need for explicit theoretical modeling methods. This approach only requires the acquisition of fundamental measurements: currents through inductors and voltages across capacitors. The acquired data are used to construct a linear difference system, which is algebraically manipulated to form a state–space representation of the converter under analysis. Three DC–DC converter topologies were analyzed, and their resulting models were tested and compared with simulation data, yielding an average error deviation of approximately 2% for current signals and 4% for voltage signals, demonstrating precise tracking of the actual dynamics. The proposed data-driven methodology could simplify the implementation of adaptive control strategies in larger-scale solutions or in the interconnection of multiple converters.

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A Multilevel Boost Converter with Reduced Inductor Current

2023 , Rosas-Caro, Julio , Jesus E. Valdez-Resendiz , Gerardo Escobar , Francisco Beltran-Carbajal

DC–DC converters are gaining attention due to their importance in key applications like renewable energy generation. A desirable feature in new DC–DC converters is a reduction in the size, which can be achieved with a reduction in the energy stored in the inductors. This article introduces a new step-up DC–DC converter topology with the following advantages: (i) a larger relation of duty cycle vs. voltage gain compared with the classical boost topology and (ii) an inductor with smaller current and smaller inductance (for the same power conversion characteristics) compared to the traditional boost converter. The smaller inductor current is an advantage against many step-up topologies with the inductor in series with the input (and then the input and the inductor currents are equal). The necessary inductance to achieve a certain current ripple is also reduced compared to the classical boost topology. This results in an inductor with a smaller amount of stored energy, lower inductance, and lower current. The proposed topology can be scaled to have a full family of large-voltage-gain converters. This paper presents the mathematical analysis, simulations, and experiments to assess the benefits of the proposition.

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Energy Management Strategy for Ultracapacitors in Hybrid Electric Vehicles

2020 , Carlos Villarreal-Hernandez , Javier Loranca-Coutino , Ruiz-Martinez, O.F. , Mayo Maldonado, Jonathan , Jesus E. Valdez-Resendiz , Rosas-caro, Julio , Gerardo Escobar-Valderrama , Del-Valle-Soto, Carolina

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A DC–DC converter with quadratic gain and input current ripple cancelation at a selectable duty cycle

2017 , Pedro Martín García–Vite , Carlos Abraham Soriano–Rangel , Rosas-caro, Julio , Fernando Mancilla–David

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A Dynamic Motion Tracking Control Approach for a Quadrotor Aerial Mechanical System

2020 , Hugo Yañez-Badillo , Francisco Beltran-Carbajal , Ruben Tapia-Olvera , Valderrabano-Gonzalez, Antonio , Antonio Favela-Contreras , Rosas-caro, Julio , Pierangelo Masarati

This paper deals with the reference trajectory tracking problem and simultaneous active disturbance suppression on a class of controlled aerial mechanical systems by processing measurable output signals. A novel dynamic control method for desired motion reference trajectory tracking for quadrotor helicopters is introduced. Measurements of position output signals for efficient and robust tracking of motion profiles specified for the unmanned aerial vehicle are only required. Thus, differentiation of signals and real-time estimation of disturbances affecting the multi-input multioutput, underactuated nonlinear dynamic system are unnecessary. The presented active control approach can be directly extended for a class of vibrating mechanical systems. Analytical, experimental, and numerical results are presented to prove the satisfactory performance of the proposed trajectory tracking control approach for considerably perturbed operating scenarios.

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Data-Driven Control of LVDC Network Converters: Active Load Stabilization

2020 , Ruiz-Martinez, O.F. , Mayo Maldonado, Jonathan , Gerardo Escobar , Benjamin A. Frias-Araya , Jesus E. Valdez-Resendiz , Rosas-caro, Julio , Paolo Rapisarda

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